Collaborative Research: High Performance Multi-Scale Ocean Modelling

协作研究：高性能多尺度海洋建模

• 批准号: 9814651
• 负责人: Mohamed Iskandarani
• 金额: $ 20.94万
• 依托单位: Rutgers University New Brunswick
• 依托单位国家: 美国
• 项目类别: Continuing Grant
• 财政年份: 1998
• 资助国家: 美国
• 起止时间: 1998-08-01 至 2001-09-30
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=9814651&HistoricalAwards=false
• 关键词: Collaborative; Research; Performance; Multi; Scale

This project will develop and implement new algorithms for high performance, highly parallel computers to enhance the Spectral Element Ocean Model developed at Rutgers University. As a testbed for this algorithmic development, the code produced will be applied to multi-scale global oceanic simulations which will focus on the Northeast Pacific continental shelves, including the Western Coast of the United States and the Coastal Gulf of Alaska. These regions are at the center of an investigative program aimed at understanding how physical processes, with multiple temporal and spatial scales, influence marine ecosystems. The new algorithms developed will address the computational difficulties associates with the long and multi-scale global oceanic simulations. The research will focus on robust two-and three-dimensional elliptic iterative solvers, optimization of the code on cache-based processors, and scalable parallel performance on unstructured grids. In particular it will exploit a new treatment for fast eaves that avoids splitting the barotropic mode and, thus, eliminates the shallow water equations from the model.

该项目将为高性能、高度并行的计算机开发和实施新的算法，以增强罗格斯大学开发的光谱元素海洋模型。作为这一算法开发的试验平台，所产生的代码将用于多尺度全球海洋模拟，重点是东北太平洋大陆架，包括美国西海岸和阿拉斯加沿海海湾。 这些地区是一个调查项目的中心，该项目旨在了解具有多个时空尺度的物理过程如何影响海洋生态系统。 新算法的开发将解决与长期和多尺度全球海洋模拟的计算困难。 研究将集中在强大的二维和三维椭圆迭代求解器，基于缓存的处理器上的代码优化，以及非结构化网格上的可扩展并行性能。 特别是，它将利用一种新的处理快速屋檐，避免分裂正压模式，从而消除浅水方程的模式。